Path Planning for the Mobile Robot: A Review

被引：230
|
作者：
Zhang, Han-ye [1 ]
Lin, Wei-ming [1 ]
Chen, Ai-xia [1 ]
机构：
[1] Jiujiang Univ, Sch Mech & Mat Engn, Jiujiang 332005, Jiangxi, Peoples R China
来源：
SYMMETRY-BASEL | 2018年 / 10卷 / 10期
关键词：
path planning; mobile robot; environmental modeling; optimization criteria; path search; PARTICLE SWARM OPTIMIZATION; IMPROVED GENETIC ALGORITHM; ARTIFICIAL BEE COLONY; ENVIRONMENT; NAVIGATION; SPACE; FIELD;
D O I：
10.3390/sym10100450
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Good path planning technology of mobile robot can not only save a lot of time, but also reduce the wear and capital investment of mobile robot. Several methodologies have been proposed and reported in the literature for the path planning of mobile robot. Although these methodologies do not guarantee an optimal solution, they have been successfully applied in their works. The purpose of this paper is to review the modeling, optimization criteria and solution algorithms for the path planning of mobile robot. The survey shows GA (genetic algorithm), PSO (particle swarm optimization algorithm), APF (artificial potential field), and ACO (ant colony optimization algorithm) are the most used approaches to solve the path planning of mobile robot. Finally, future research is discussed which could provide reference for the path planning of mobile robot.
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页数：17
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